Two months after its introduction, the NVIDIA T4 GPU is featured in 57 separate server designs from the world’s leading computer makers. It is also available in the cloud, with the first availability of the T4 for Google Cloud Platform customers. “Just 60 days after the T4’s launch, it’s now available in the cloud and is supported by a worldwide network of server makers. The T4 gives today’s public and private clouds the performance and efficiency needed for compute-intensive workloads at scale.”

“With Bitfusion along with Mellanox and VMWare, IT can now offer an ability to mix bare metal and virtual machine environments, such that GPUs in any configuration can be attached to any virtual machine in the organization, enabling easy access of GPUs to everyone in the organization,” said Subbu Rama, co-founder and chief product officer, Bitfusion. “IT can now pool together resources and offer an elastic GPU as a service to their organizations.”

In this video from SC18, Raj Hazra describes how Intel is driving the convergence of HPC and Ai. “To meet the new computational challenges presented by this AI and HPC convergence, HPC is expanding beyond its traditional role of modeling and simulation to encompass visualization, analytics, and machine learning. Intel scientists and engineers will be available to discuss how to implement AI capabilities into your current HPC environments and demo how new, more powerful HPC platforms can be applied to meet your computational needs now and in the future.”

“The emerging AI community on HPC infrastructure is critical to achieving the vision of AI,” said Pradeep Dubey, Intel Fellow. “Machines that don’t just crunch numbers, but help us make better and more informed complex decisions. Scalability is the key to AI-HPC so scientists can address the big compute, big data challenges facing them and to make sense from the wealth of measured and modeled or simulated data that is now available to them.”

In this video, Beenish Zia from Intel presents: BigDL Open Source Machine Learning Framework for Apache Spark. “BigDL is a distributed deep learning library for Apache Spark*. Using BigDL, you can write deep learning applications as Scala or Python* programs and take advantage of the power of scalable Spark clusters. This article introduces BigDL, shows you how to build the library on a variety of platforms, and provides examples of BigDL in action.”

We are pleased to offer our readers a Livestream of the HPC Inspires Plenary from SC18 in Dallas. “Simulation and modeling along with AI are being applied to some of our most challenging global threats and humanitarian crises. The SC18 plenary session will explore the capacity of HPC to help mitigate human suffering and advance our capacity to protect the most vulnerable, identify methods to produce enough food globally and ensure the safety of our planet and natural resources.”

Over at the SC18 Blog, SC Insider writes that the upcoming Conference Plenary session will examine the potential for advanced computing to help mitigate human suffering and elevate our capacity to protect the most vulnerable. “In this SC18 plenary session, you will hear from innovators who are redefining how we predict and prevent humanitarian crises by leveraging advanced computing. The session is the conference kick-off event, and will be follow by Exhibitor Opening Gala on Monday night, Nov. 12.”

In this AI Podcast, Bill Dally from NVIDIA describes how the company is accelerating Ai with GPUs. “NVIDIA researchers are gearing up to present 19 accepted papers and posters, seven of them during speaking sessions, at the annual Computer Vision and Pattern Recognition conference next week in Salt Lake City, Utah. Joining us to discuss some of what’s being presented at CVPR, and to share his perspective on the world of deep learning and AI in general is one of the pillars of the computer science world, Bill Dally, chief scientist at NVIDIA.”

Clients tell us there is a wide range of users beyond data scientists that want to get in on the AI action as well, so we recently updated LiCO with new “Lenovo Accelerated AI” training and inference templates. These templates allow users to simply bring their dataset into LiCO and request cluster resources to train models and run inference without coding.”

Decisive Analytics Corporation in Virginia is seeking a Machine Learning Software Engineer in our Job of the Week. “We are seeking applicants with strong software development skills, and a keen interest in machine learning to join our team. In this role you will have the opportunity to develop state of the art machine learning algorithms and deploy them in the big data stack of Hadoop, MapReduce, Spark, Storm, Accumulo, and Mongo DB.”

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Industry Perspectives

In this special guest post, Axel Huebl looks at the TOP500 and HPCG with an eye on power efficiency trends to watch on the road to Exascale. "This post will focus one efficiency, in terms of performance per Watt, simply because system power envelope is a major constrain for upcoming Exascale systems. With the great numbers from TOP500, we try to extend theoretical estimates from theoretical Flop/Ws of individual compute hardware to system scale." [Read More...]

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